An Optimized Recurrent Neural Network for Metocean Forecasting

• Main Authors: Alqushaibi, A., Abdulkadir, S.J., Rais, H.M., Al-Tashi, Q., Ragab, M.G.
• Format: Conference or Workshop Item
• Published: Institute of Electrical and Electronics Engineers Inc. 2020
• Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85097537252&doi=10.1109%2fICCI51257.2020.9247681&partnerID=40&md5=5e47ef54d0f84273a9527a3fe3a0db9c; http://eprints.utp.edu.my/29858/

Metocean data plays a crucial role in planning and constructing offshore projects. the success of many offshore projects depends on the accuracy of metocean data analyzing and forecasting. And analyzing metocean data requires a tremendous effort to validate the data and determine the transformation...